English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A state-of-the-art strong-lensing model of MACS J0416.1-2403 with the largest sample of spectroscopic multiple images

Bergamini, P., Grillo, C., Rosati, P., Vanzella, E., Meštrić, U., Mercurio, A., et al. (2023). A state-of-the-art strong-lensing model of MACS J0416.1-2403 with the largest sample of spectroscopic multiple images. Astronomy and Astrophysics, 674: A79. doi:10.1051/0004-6361/202244834.

Item is

Files

show Files
hide Files
:
A state-of-the-art strong-lensing model of MACS J0416.1-2403 with the largest sample of spectroscopic multiple images.pdf (Any fulltext), 28MB
 
File Permalink:
-
Name:
A state-of-the-art strong-lensing model of MACS J0416.1-2403 with the largest sample of spectroscopic multiple images.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Bergamini, P., Author
Grillo, C., Author
Rosati, P., Author
Vanzella, E., Author
Meštrić, U., Author
Mercurio, A., Author
Acebron, A., Author
Caminha, G. B.1, Author           
Granata, G., Author
Meneghetti, M., Author
Angora, G., Author
Nonino, M., Author
Affiliations:
1Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              

Content

show
hide
Free keywords: -
 Abstract: The combination of multi-band imaging from the Hubble Space Telescope with Multi-Unit Spectroscopic Explorer integral field spectroscopy, obtained at the Very Large Telescope, has recently driven remarkable progress in strong-lensing (SL) modeling of galaxy clusters. From a few tens of multiple images with photometric redshifts per cluster, a new generation of high-precision SL models have recently been developed by exploiting in some cases over a hundred spectroscopically confirmed multiple images and cluster member galaxies. A further step forward is expected with James Webb Space Telescope observations of SL clusters (from hundreds of multiple images to possibly a thousand). In this context, we present a new state-of-the-art SL model of the galaxy cluster MACS J0416.1−2403, utilizing 237 spectroscopically confirmed multiple images, which is the largest sample of secure multiply-lensed sources utilized to date. In addition, this model incorporates stellar kinematics information of 64 cluster galaxies and the hot-gas mass distribution of the cluster, determined from Chandra X-ray observations. The observed positions of the many multiple images are reproduced with a remarkable average accuracy of 0.43″. To further assess the reliability of this lens model and to highlight the improvement over previously published models, we show the extended surface brightness reconstruction of several lensed galaxies through a newly developed forward modeling software. The comparison with other SL models of the same cluster demonstrates that this new model is better able to accurately reproduce the positions, shapes, and fluxes of the observed multiple images. In addition to a robust characterization of the total mass distribution of the cluster, our model can provide accurate and precise magnification maps that are key to studying the intrinsic physical properties of faint high-redshift lensed sources. The model is made publicly available through our newly developed Strong Lensing Online Tool (SLOT); thanks to a simple graphical interface SLOT allows astronomers (including lensing non-experts) to take full advantage of the predictive power of the model, including statistical uncertainties on the relevant quantities associated with the multiply-lensed sources.

Details

show
hide
Language(s): eng - English
 Dates: 2023-06-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1051/0004-6361/202244834
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: France : EDP Sciences S A
Pages: - Volume / Issue: 674 Sequence Number: A79 Start / End Page: - Identifier: ISSN: 1432-0746
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1